What does AI customer-feedback analysis cost?
Want to estimate the cost of AI customer-feedback analysis? This page turns that question into a real number. It is aimed at product and CX teams, who need a defensible monthly figure before they ship. Change the volume and token sizes to match your own product and the estimate updates instantly.
Start here: AI Cost Per 1,000 Requests Calculator
Results update automatically as you type.
- Per request
- $0.000450
- Per 1,000 requests
- $0.4500
- Per 10,000 requests
- $4.50
- Per 1,000,000 requests
- $450.00
Then: LLM API Cost Calculator
Results update automatically as you type.
- Input cost
- $0.00250
- Output cost
- $0.00500
- Per request
- $0.00750
- Per day
- $7.50
- Per month
- $225.00
Why this isn't trivial
The part people underestimate: feedback analysis runs on large volumes of short items, so total item count drives the cost more than item size. In practice the biggest savings come from batching items per request and using a cheaper model for classification, so it is worth modelling before you commit.
How it's calculated
We estimate this by costing one feedback-item analysis and scaling by items per month. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
Can I batch feedback items?+
Yes — analyzing several per request cuts overhead and lowers cost.
Do I need a top model?+
For sentiment and tagging, a budget model is usually plenty.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.